Description

Book Synopsis

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.

Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system.

Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.



Table of Contents

1. Evolutionary Intelligence. 2. Heart Disease Diagnosis. 3. Diabetes Prediction and Classification. 4. Degenerative Diseases. 5. Tuberculosis. 6. Muscular Dystrophy. 7. Tumor Prediction and Classification.

Evolutionary Intelligence for Healthcare Applications

    Product form

    A Hardback by M. Pavithra, R. Rajmohan, M. Pavithra

    £45.99

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      Book details

      Publisher CRC Press
      Published 11/23/2022 12:00:00 AM
      ISBN-13 9781032185040
      978-1032185040
      ISBN-10 103218504X
      Also in:
      Art & Photography Product design Computing Databases / Data management Technology, Engineering & Agriculture Environmental science, engineering and technology

      Description

      Book Synopsis

      This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.

      Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system.

      Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.



      Table of Contents

      1. Evolutionary Intelligence. 2. Heart Disease Diagnosis. 3. Diabetes Prediction and Classification. 4. Degenerative Diseases. 5. Tuberculosis. 6. Muscular Dystrophy. 7. Tumor Prediction and Classification.

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